demonstration

Professional Network Analytics Platform for Enterprise Collaboration

Authors:

Gopakumar Gopalakrishnan,

Krupa Benhur,

Abhishek Kaushik,

Anjaneyulu PassalaAuthors Info & Claims

CSCW '17 Companion: Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

Pages 5 - 8

https://doi.org/10.1145/3022198.3023264

Published: 25 February 2017 Publication History

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Abstract

A fundamental challenge to effective coordination of work across various boundaries in large and geographically distributed organizations is the ability of employees to identify who knows what, who knows who, and who is doing what. In this demo, we introduce a professional network analytics platform that analyzes large and diverse set of operational records in an enterprise and constructs professional networks between employees. We describe how various challenges in constructing and analyzing networks that link various entities and time stamped events are addressed by our platform. Further, we illustrate certain collaboration support services built around them in a contextually relevant manner.

References

[1]

Balog, Krisztian. People search in the enterprise. In Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM, 2007.

Digital Library

Google Scholar

[2]

Chen, Jilin, Werner Geyer, Casey Dugan, Michael Muller, and Ido Guy. Make new friends, but keep the old: recommending people on social networking sites. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2009.

Digital Library

Google Scholar

[3]

Demartini, Gianluca, Julien Gaugaz, and Wolfgang Nejdl. A vector space model for ranking entities and its application to expert search. European Conference on Information Retrieval. Springer Berlin Heidelberg, 2009.

Digital Library

Google Scholar

[4]

Guy, Ido, Sigalit Ur, Inbal Ronen, Adam Perer, and Michal Jacovi. Do you want to know? Recommending strangers in the enterprise. In Proceedings of the ACM 2011 conference on Computer Supported Cooperative Work. ACM, 201

Digital Library

Google Scholar

[5]

Guy, Ido, Inbal Ronen, and Eric Wilcox. Do you know? Recommending people to invite into your social network. In Proceedings of the 14th International Conference on Intelligent User Interfaces. ACM, 2009.

Digital Library

Google Scholar

[6]

Macdonald, Craig, and Iadh Ounis. The influence of the document ranking in expert search. Information Processing & Management, 47.3 (2011): 376--390.

Digital Library

Google Scholar

[7]

Yarosh, Svetlana, Tara Matthews, and Michelle Zhou. Asking the right person: supporting expertise selection in the enterprise. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2012.

Digital Library

Google Scholar

Cited By

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JosephNg PYeo RWong JTan PYong YSee S(2022)PSTN Enterprise Collaboration SystemsPervasive Computing and Social Networking10.1007/978-981-19-2840-6_60(803-816)Online publication date: 2-Sep-2022
https://doi.org/10.1007/978-981-19-2840-6_60
Feger SDallmeier-Tiessen SSchmidt AWoźniak PBrewster SFitzpatrick GCox AKostakos V(2019)Designing for ReproducibilityProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300685(1-14)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300685

Index Terms

Professional Network Analytics Platform for Enterprise Collaboration
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Computer supported cooperative work
2. Social and professional topics
  1. Professional topics
    1. Computing and business
      1. Computer supported cooperative work

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Published In

CSCW '17 Companion: Companion of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

February 2017

472 pages

ISBN:9781450346887

DOI:10.1145/3022198

General Chairs:
Charlotte P. Lee
University of Washington
,
Steve Poltrock
Retired
,
Program Chairs:
Louise Barkhuus
Stockholm University and Cornell Tech
,
Marcos Borges
Universidade Federal do Rio de Janeiro
,
Wendy Kellogg
IBM T.J. Watson Research Center

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 February 2017

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Demonstration

Conference

CSCW '17

Sponsor:

SIGCHI

CSCW '17: Computer Supported Cooperative Work and Social Computing

February 25 - March 1, 2017

Oregon, Portland, USA

Acceptance Rates

CSCW '17 Companion Paper Acceptance Rate 183 of 530 submissions, 35%;

Overall Acceptance Rate 2,235 of 8,521 submissions, 26%

Upcoming Conference

CSCW '25

Sponsor:
sigchi

Computer-Supported Cooperative Work and Social Computing

October 18 - 22, 2025

Bergen , Norway

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JosephNg PYeo RWong JTan PYong YSee S(2022)PSTN Enterprise Collaboration SystemsPervasive Computing and Social Networking10.1007/978-981-19-2840-6_60(803-816)Online publication date: 2-Sep-2022
https://doi.org/10.1007/978-981-19-2840-6_60
Feger SDallmeier-Tiessen SSchmidt AWoźniak PBrewster SFitzpatrick GCox AKostakos V(2019)Designing for ReproducibilityProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300685(1-14)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300685

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Big Data Analytics: A Cognitive Perspectives

Professional Experience Characterization on Information Systems Teams Collaboration

The analytic network process for managing inter-enterprise collaboration: A case study in a collaborative enterprise network

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